Acceso usuarios
Pusen Yang
With the rapid development of technology, the application of deep learning and CAD technology in the film industry is becoming increasingly widespread, especially in film dissemination and media marketing. These advanced technologies not only change the way movies are produced, but also bring unprecedented opportunities for the promotion and marketing of movies. The application of deep learning in film communication has achieved significant results. By analyzing a large amount of audience data, deep learning algorithms can accurately predict audience preferences and behavior patterns, thereby providing more precise direction for the promotion of movies. This article identifies many problems in media marketing of original animated films and proposes strategies and practical approaches for new media marketing, in order to provide theoretical basis and practical reference for the development of the animated film industry. In addition, the method has high fidelity in generating character models and movies, smooth and natural action sequences, and no obvious time interruptions or mutations. The results indicate that the DL based automatic generation method for CAD character films and TV shows can improve the efficiency of film and TV production. In the production of movie trailers, deep learning techniques can be used to enhance visual and sound effects, better attracting the attention of the audience. In addition, deep learning can also be used to optimize film scheduling strategies, develop more reasonable scheduling plans based on audience viewing habits and preferences, and improve box office revenue.
